FaCov-class | R Documentation |
"FaCov"
Robust FA based on a robust covariance matrix. Robust FA are obtained by replacing the classical covariance matrix by a robust covariance estimator. This can be one of the available in rrcov
estimators, i.e., MCD, OGK, M, S, SDE, or MVE estimator.
Objects can be created by calls of the form new("FaCov", ...)
.
But the usual way of creating FaCov
objects is a call to the function FaCov
which serves as a constructor.
call
:Object of class "language"
an unevaluated function call
converged
:Object of class "Ulogical"
a logical character indicates whether the iterations converged
loadings
:Object of class "matrix"
the matrix of variable loadings
uniquenesses
:Object of class "vector"
the uniquenesses computed
covariance
:Object of class "matrix"
the covariance matrix
correlation
:Object of class "matrix"
the correlation matrix
usedMatrix
:Object of class "matrix"
the used matrix (running matrix)
criteria
:Object of class "Unumeric"
. The results of the optimization: the value of the negative log-likelihood and information on the iterations used.
factors
:Object of class "numeric"
the number of factors
dof
:Object of class "Unumeric"
. The number of degrees of freedom of the factor analysis model.
method
:Object of class "character"
. The method: one of "mle", "pca", and "pfa".
scores
:Object of class "Umatrix"
. If requested, a matrix of scores.
scoresMethod
:Object of class "character"
. The scores method: one of "none", "regression", and "Bartlett".
STATISTIC
:Object of class "Unumeric"
. The significance-test statistic, if it can be computed.
PVAL
:Object of class "Unumeric"
. The significance-test P value, if it can be computed.
n.obs
:Object of class "Unumeric"
. The number of observations if available.
center
:Object of class "Uvector"
. The center of the data.
eigenvalues
:Object of class "vector"
the eigenvalues
cov.control
:Object of class "UCovControl"
. Record the cov control method.
Class "FaRobust"
, directly.
Class "Fa"
, by class "FaRobust", distance 2.
No methods defined with class "FaCov" in the signature.
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
Zhang, Y. Y. (2013), An Object Oriented Solution for Robust Factor Analysis.
FaClassic-class
, FaCov-class
, FaRobust-class
, Fa-class
showClass("FaCov")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.